Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape (2022)
- Authors:
- USP affiliated authors: COUTINHO, KALINE RABELO - IF ; SILVA, THEREZA AMÉLIA SOARES DA - FFCLRP
- Unidades: IF; FFCLRP
- DOI: 10.1021/acs.jcim.2c00673
- Subjects: FÍSICO-QUÍMICA; FÍSICA MOLECULAR; SOFTWARE ESTATÍSTICO PARA MICROCOMPUTADORES; LIPÍDEOS DA MEMBRANA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Washington
- Date published: 2022
- Source:
- Título: Journal of Chemical Information and Modeling
- ISSN: 1549-960X
- Volume/Número/Paginação/Ano: v. 62, n. 19, p. 4690-4701, 2022
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SANTOS, Denys e COUTINHO, Kaline Rabelo e SILVA, Thereza Amélia Soares da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape. Journal of Chemical Information and Modeling, v. 62, n. 19, p. 4690-4701, 2022Tradução . . Disponível em: https://doi.org/10.1021/acs.jcim.2c00673. Acesso em: 06 fev. 2026. -
APA
Santos, D., Coutinho, K. R., & Silva, T. A. S. da. (2022). Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape. Journal of Chemical Information and Modeling, 62( 19), 4690-4701. doi:10.1021/acs.jcim.2c00673 -
NLM
Santos D, Coutinho KR, Silva TAS da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4690-4701.[citado 2026 fev. 06 ] Available from: https://doi.org/10.1021/acs.jcim.2c00673 -
Vancouver
Santos D, Coutinho KR, Silva TAS da. Surface Assessment via Grid Evaluation (SuAVE) for Every Surface Curvature and Cavity Shape [Internet]. Journal of Chemical Information and Modeling. 2022 ; 62( 19): 4690-4701.[citado 2026 fev. 06 ] Available from: https://doi.org/10.1021/acs.jcim.2c00673 - The Effect of Surface Composition on the Selective Capture of Atmospheric CO2 by ZIF Nanoparticles: The Case of ZIF-8
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Informações sobre o DOI: 10.1021/acs.jcim.2c00673 (Fonte: oaDOI API)
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